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Md. Akhtarul Islam
Assistant Professor

Md. Akhtarul Islam, a teacher at Khulna University Statistics Discipline, Khulna, Bangladesh. He has been working as a faculty member of this Discipline at Khulna University since 2015. He has chosen statistics as my career path after realizing its demand across the world. Statistics is widely regarded as the core subject of science & is used in almost all fields of research and study. In 2008 he obtained entry to the Statistics, Biostatistics and Informatics department of Dhaka University, one of our country's prominent universities. He completed his honors and MS degree from the same department in 2013 and 2014, respectively.


He has experience teaching several courses, namely Meta-Analysis, Epidemiology, Sampling Techniques, Research Methodology, Basic Statistics, Statistical Methods for Artificial Intelligence, Econometrics, Probability Distribution, Time-series Analysis, etc. He has more than 18 research articles published in peer-reviewed journals and four conference papers related to health services, the public health sector, and primary health care facilities. Improving the quality of public health in developing countries by addressing the reasons behind the diseases, mismanagement, and problems with the health sectors is his primary motivation for doing public health research.

M. S. in Statistics, Biostatistics & Informatics

Name of Institution:  University of Dhaka

B. S. (Hons.) in Statistics, Biostatistics & Informatics

Name of Institution:  University of Dhaka



  • Md. Akhtarul Islam has a great interest in infectious diseases, Public Health, Epidemiology, Biostatistics, Meta-Analysis, Machine learning, etc. He wishes to translate health-related data into expressive information to make logical and valuable public health decisions to achieve Sustainable Development Goals (SDGs) in developing countries.

Current Research Project/Collaboration

SL Title Research Role Awarded Date Completion Date Funding Agency
No Research Project Available


I have been working as a faculty member of the Statistics Discipline at Khulna University since 2015. I have 22 research articles published in peer-reviewed journals and four conference papers related to health services, the public health sector, and primary healthcare facilities. Improving the quality of public health in developing countries by addressing the reasons behind diseases, mismanagement, and problems with the health sectors is my primary motivation for doing public health research. My research has focused on understanding and improving the quality and utilization of maternal health services and primary healthcare facilities in developing nations, often through analyzing the nationally representative Demographic and Health Survey (DHS) data.

Assistant Professor, Statistics Discipline (12/02/2018–Present)

Lecturer, Statistics Discipline (02/11/2015–11/02/2018)

Visiting Academic (01/02/2017 – 30-06-2017): Statistics Department, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, Bangladesh


Thesis Supervision (MS)

  1. Factors Associated with the Non-Utilization of Maternal Health Services in Bangladesh: A Multilevel Analysis
  2. Determinant associated with neonatal mortality:  a special mixed-method study of Bangladesh and 20 other developing countries based on Demographic and Health Survey data
  3. Influence of Education and Economic Status on Choosing Delivery Mode: A Special Mixed-Method Study of Some Low- and Middle-Income Countries
  4. The Impact of Different Factors on Infant Mortality: A Meta-Analysis on Developing Countries

Thesis Co-supervision (MS)

  1. Factors Associated with Under-Five Child Mortality in Nigeria: A Comparative Study between Cox PH and Cox Frailty Model

Project Supervision(MS)


  1. Survival Analysis of Timing of Early Marriage among Women in Bangladesh: Evidence from BDHS 2014 Data
  2. Prevalence and Determinants of Unintended Pregnancies in India: Evidence from Indian Demographic and Health Survey 2015-2016
  3. Influencing Factors of Maternal Health Service Utilization in Bangladesh: A Statistical Analysis of the BDHS Data 2014


Project Supervision (Honors)

  1. Individual and Community - Level Factors Associated with Skilled Birth Attendants During Delivery in Bangladesh: A Multilevel Analysis of Demographic and Health Surveys
  2. Making Decisions about the Fertility Behavior of Women in Bangladesh: Evidence from Bangladesh Demographic and Health Survey Data
  3. Determining The Factors Influencing Fertility; A Meta Analytical View of Some Developing Countries
  4. Determinants of Anemia Among 6-59 Months Aged Children in Bangladesh; Evidence from BDHS 2011 data
  5. Factor influencing utilization of Antenatal care service among pregnant women:  A Meta analytical view on developing countries


coming soon...

Supervision

SL Title Degree Role Start Date End Date
1 Trend of determinants of birth interval dynamics in Bangladesh; Four consecutive BDHS, Surveys- 2007, 2011, 2014 and 2017-18 Masters Supervisor July 2022
2 Influence of Education and Economic Status on Choosing Delivery Mode: A Special Mixed – Method Study of Some Low- and Middle Income Countries Masters Supervisor July 2021
3 The Impact of Different Factors on Infant Mortality: A Meta-Analysis on Developing Countries Masters Supervisor 2nd July 2020 2021
4 Influencing Factors of Maternal Health Service Utilization in Bangladesh: A Statistical Analysis of the BDHS Data 2014
5 Factors Associated with Increased Neonatal Mortality in Some Developing Countries: Evidence from the Demographic and Health Survey (DHS) Data Masters Supervisor January 2020
6 Factor influencing breast cancer risk among well developed and least developed countries: A meta analytical review. Masters Supervisor January 2020
7 Factors Associated with the Non-Utilization of Maternal Health Services in Bangladesh: A Multilevel Analysis Masters Supervisor December 2020
8 Impact of Woman's Working Status on Spousal Abuse in Bangladesh: A Meta Analytical Review on Urban and Urban Slum Area Bachelor Supervisor 2017
9 Factor Influencing Utilization of Antenatal Care Service among Pregnant Women: A Meta-Analytical View on Some Developing Countries Bachelor Supervisor 2018
10 Factor Influencing the Caesarian Section Deliveries: Evidence from Five Developing Countries Bachelor Supervisor 2019
11 Determining The Factors Influencing Fertility; A Meta Analytical View of Some Developing Countries Bachelor Supervisor January 2019
12 A Multilevel Analysis of Over-weight and Obesity among Non-Pregnant Women of Reproductive Age in Bangladesh: Evidence from BDHS data, 2014 Bachelor Supervisor 2019
13 Individual and Community - Level Factors Associated with Skilled Birth Attendants during Delivery in Bangladesh: A Multilevel Analysis of Demographic and Health Surveys Bachelor Supervisor January 2022
14 The Impact of E-learning on Academic Performance and Mental Health of Khulna University Students during Covid-19 Pandemic Masters Supervisor 2022
15 Prevalence and Factors Associated with Skilled Birth Attendant During Delivery at Home in India: An Illustration Using Indian Demographic and Health Survey Data Masters Supervisor 2022
16 Experience and side effects of Covid-19 vaccine uptake among University students in Bangladesh Masters Supervisor 2022
17 Influence of Early-marriage, Modern Contraceptive Used and Age at First Child and Unintended Pregnancy in Sub-Saharan Africa and South Asian: a Meta Analysis Review Masters Supervisor 2022
18 Prevalence and Triggering Factors of Under-Five Mortality: A MetaAnalysis of Demography and Health Survey Data Masters Supervisor 2022

coming soon...


Publications


1.     Nishat, J. F., Shovo, T. E., Ahammed, B., Islam, M., Rahman, M. M., & Hossain, M. (2023). Mental health status of early married girls during the COVID-19 pandemic: A study in the southwestern region of Bangladesh. Frontiers in Psychiatry, 13, 2809.

2.     Rahman, M. A., Sultana, S., Kundu, S., Islam, M. A., Roshid, H. O., Khan, Z. I., ... & Howlader, M. H. (2022). Trends and patterns of inequalities in using facility delivery among reproductive-age women in Bangladesh: a decomposition analysis of 2007–2017 Demographic and Health Survey data. BMJ open, 12(12), e065674.

3.     Hossain, M., Ahammed, B., Jahan, N., Islam, M., Rahman, M., Khan, B., ... & Rahman, R. (2022). Prevalence and predictors of pornography exposure during the third wave of the COVID-19 pandemic: A web-based cross-sectional study on students in Bangladesh. Frontiers in Public Health, 10, 4684.

4.     Kundu, S., Das, P., Rahman, M., Al Banna, M., Fatema, K., Islam, M., ... & Hossain, A. (2022). Socio-economic inequalities in minimum dietary diversity among Bangladeshi children aged 6–23 months: a decomposition analysis. Scientific Reports, 12(1), 1-14.

5.     Rahman, M. A., Kundu, S., Rashid, H. O., Shanto, H. H., & Khan, B. (2022). Socioeconomic Inequalities in Utilizing Facility Delivery in Bangladesh: A Decomposition Analysis Using Nationwide 2017-2018 Demographic and Health Survey Data.

6.     Hussain, M., Islam, A., Turi, J. A., Nabi, S., Hamdi, M., Hamam, H., ... & Sehar, T. (2022). Machine Learning-Driven Approach for a COVID-19 Warning System. Electronics, 11(23), 3875.

7.     Islam, M., Sathi, N. J., Abdullah, H. M., & Tabassum, T. (2022). A Meta-Analysis of Induced Abortion, Alcohol Consumption, and Smoking Triggering Breast Cancer Risk among Women from Developed and Least Developed Countries. International Journal of Clinical Practice, 2022.

8.     Islam, M., Khan, M., Alam, N., Raihan, H., & Barna, S. D. (2022). Exploring the Influencing Factors for Contraceptive Use among Women: A Meta-Analysis of Demographic and Health Survey Data from 18 Developing Countries. International Journal of Reproductive Medicine, 2022.

9.     Islam, M. A., Tabassum, T., & Moni, M. A. (2021). Exploring the Influencing Factors for Infant Mortality: A Mixed-Method Study of 24 Developing Countries Based on Demographic and Health Survey data. Authorea Preprints.

10.  Dutta, A., Hasan, M., Ahmad, M., Awal, M., Islam, M., Masud, M., & Meshref, H. (2022). Early Prediction of Diabetes Using an Ensemble of Machine Learning Models. International Journal of Environmental Research and Public Health, 19(19), 12378.

11.  Islam, M. A., Nahar, M. T., Anik, S. F. I., Barna, S. D., & Hossain, M. T. (2022). Changes in dietary patterns among Bangladeshi adult population during the COVID-19 pandemic: A web-based cross-sectional study. Heliyon, e10349.

12.  Islam, M. A., Nahar, M. T., Khan, M. N. A., Butt, Z. A., Monjur-Al-Hossain, A. S. M., Barna, S. D., ... & Hossain, M. T. (2022). Knowledge, Attitudes, and Practices concerning Black Fungus during COVID-19 Pandemic among Students of Bangladesh: An Online-Based Cross-Sectional Survey. International Journal of Environmental Research and Public Health, 19(15), 9146.

13.  Hossain, M. T., Islam, M. A., Jahan, N., Nahar, M. T., Sarker, M. J. A., Rahman, M. M., ... & Islam, M. N. (2022). Mental Health Status of Teachers During the Second Wave of the COVID-19 Pandemic: A Web-Based Study in Bangladesh. Frontiers in Psychiatry, 13.

14.  Raihan, H., Khan, M., Alam, N., & Islam, M. (2022). Investigating the Factors Affecting Overweight/Obese amidst Non-pregnant Women in Bangladesh: A Multi-level Analysis of Demographic and Health Survey. Dr. Sulaiman Al Habib Medical Journal, 1-9.

15.  Islam, M., Butt, Z. A., & Sathi, N. J. (2022). Prevalence of Neonatal Mortality and its Associated Factors: A Meta-analysis of Demographic and Health Survey Data from 21 Developing Countries. Dr. Sulaiman Al Habib Medical Journal, 1-8.

16.  Nahar, M. T., Anik, S. F. I., Islam, M. A., & Islam, S. M. S. (2022). Individual and community-level factors associated with skilled birth attendants during delivery in Bangladesh: A multilevel analysis of demographic and health surveys. Plos one, 17(6), e0267660.

17.  Islam, M., Shanto, H. H., Jabbar, A., & Howlader, M. (2022). Caesarean Section in Indonesia: Analysis of Trends and Socio-Demographic Correlates in Three Demographic and Health Surveys (2007–2017). Dr. Sulaiman Al Habib Medical Journal, 1-9.

18.  Islam, M., Sathi, N. J., Abdullah, H. M., Naime, J., & Butt, Z. A. (2022). Factors Affecting the Utilization of Antenatal Care Services During Pregnancy in Bangladesh and 28 Other Low-and Middle-income Countries: A Meta-analysis of Demographic and Health Survey Data. Dr. Sulaiman Al Habib Medical Journal, 4(1), 19-31.

19.  Sathi, N. J., Islam, M. A., Ahmed, M. S., & Islam, S. M. S. (2022). Prevalence, trends and associated factors of hypertension and diabetes mellitus in Bangladesh: Evidence from BHDS 2011 and 2017–18. PloS one, 17(5), e0267243.

20.  Iqbal, A., Shafique, M., Zahoor, M.A., Muzammil, S., Nawaz, Z., Jabbar, A., Khurshid, M., Hussain, R., Islam, M.A., Almatroudi, A. and Allemailem, K.S., 2022. The occurrence of multidrug-resistant Mycobacterium tuberculosis from patients of pulmonary tuberculosis. The Journal of Infection in Developing Countries, 16(04), pp.698-704.

21.   Islam, M., Sathi, N. J., Hossain, M., Jabbar, A., Renzaho, A., & Islam, S. M. S. (2022). Caesarean delivery and its association with educational attainment, wealth index, and place of residence in Sub-Saharan Africa: a meta-analysis. Scientific Reports, 12(1), 1-14.

22.  Setu, S. P., Islam, M., Halim, S., & Bin, F. (2022). Individual and Community-Level Determinants of Institutional Delivery Services among Women in Bangladesh: A Cross-Sectional Study. International Journal of Clinical Practice, 2022.

23.  M. El Bakrawy, L., Cifci, M. A., Kausar, S., Hussain, S., Islam, M. A., Alatas, B., & Desuky, A. S. (2022). A Modified Ant Lion Optimization Method and Its Application for Instance Reduction Problem in Balanced and Imbalanced Data. Axioms, 11(3), 95.

24.  Islam, M., Afroja, S., Khan, M., Alauddin, S., Nahar, M., & Talukder, A. (2022). Prevalence and Triggering Factors of Childhood Anemia: An Application of Ordinal Logistic Regression Model. International Journal of Clinical Practice, 2022.

25.  Islam, M. A., Rahim, A., & Jabbar, A. (2022). Prevalence and triggering factors of unintended pregnancies among women in India: Evidence from Indian Demographic and Health Survey 2015–2016. Clinical Epidemiology and Global Health, 100949.

26.  Islam, M. A., & Barna, S. D. (2021). Survival analysis of timing of early marriage among women in Bangladesh: evidence from the 2014 Bangladesh demographic and health survey. Family Medicine & Primary Care Review, 23(4), 429-436.

27.  Talukder, A., Sathi, N. J., Islam, A., Islam, S. M. S., & Haq, I. (2021). Prevalence and Factors Associated with under-5 Mortality in Nigeria: Evidence from 2018 Nigeria Demographic and Health Survey. Dr. Sulaiman Al Habib Medical Journal.

28.  Hasan, M. K., Jawad, M. T., Dutta, A., Awal, M. A., Islam, M. A., Masud, M., & Al-Amri, J. F. (2021). Associating Measles Vaccine Uptake Classification and its Underlying Factors Using an Ensemble of Machine Learning Models. IEEE Access, 9, 119613-119628.

29.  Desuky, A. S., Hussain, S., Kausar, S., Islam, M. A., & El Bakrawy, L. M. (2021). EAOA: An Enhanced Archimedes Optimization Algorithm for Feature Selection in Classification. IEEE Access, 9, 120795-120814.

30.  Islam, M. A., & Biswas, B. (2021). Socio-economic factors associated with increased neonatal mortality: A mixed-method study of Bangladesh and 20 other developing countries based on demographic and health survey data. Clinical Epidemiology and Global Health, 100801.

31.  Awal, M. A., Hossain, M. S., Debjit, K., Ahmed, N., Nath, R. D., Habib, G. M., Khan, M.S., Islam, M.A.,& Mahmud, M. P. (2021). An Early Detection of Asthma Using BOMLA Detector. IEEE Access, 9, 58403-58420.

32.  Islam, M. A., & Tabassum, T. (2021). Does antenatal and post-natal program reduce infant mortality? A meta-analytical review on 24 developing countries based on Demographic and Health Survey data. Sexual & Reproductive Healthcare, 28, 100616.

33.  Islam, A., Alauddin, S., & Barna, S. D. (2021). Socioeconomic and Demographic Predictors of Women's First Birth at an Early Age: Evidence from Bangladesh’s Demographic and Health Survey, 2004-2014. Journal of International Women's Studies, 22(1), 359-373.

34.  Islam, M. A., & Rahman, A. (2020). Age at first marriage and fertility in developing countries: A meta analytical view of 15 Demographic and Health Surveys. Clinical Epidemiology and Global Health, 8(3), 775-779.

35.  Rahman, A., Islam, A., & Yeasmin, S. (2020). Influencing Factors of Fertility in Developing Countries: Evidence from 16 DHS Data. Journal of International Women's Studies, 21(6), 419-429.

36.  Islam, M. A., Barna, S. D., Raihan, H., Khan, M. N. A., & Hossain, M. T. (2020). Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey. PloS one, 15(8), e0238162.

37.  Islam, M. A., Kabir, M. R., & Talukder, A. (2020). Triggering factors associated with the utilization of antenatal care visits in Bangladesh: An application of negative binomial regression model. Clinical Epidemiology and Global Health, 8(4), 1297-1301.

38.  Islam, M. A., & Barna, S. D. (2020). Concise title: Maternal health service utilization. Clinical Epidemiology and Global Health, 8(4), 1236-1241.

39.  Afroja, S., Kabir, M. R., & Islam, M. A. (2020). Analysis of determinants of severity levels of childhood anemia in Bangladesh using a proportional odds model. Clinical Epidemiology and Global Health, 8(1), 175-180.

40.  Siddiquee, T., Halder, H. R., & Islam, M. A. (2019). Exploring the influencing factors for non-utilisation of healthcare facilities during childbirth: a special mixed-method study of Bangladesh and 13 other low-and middle-income countries based on Demographic and Health Survey data. Family Medicine and Community Health, 7(4).

41.  Ahammed, B., Kabir, M. R., Abedin, M. M., Ali, M., & Islam, M. A. (2019). Determinants of different birth intervals of ever married women: Evidence from Bangladesh. Clinical Epidemiology and Global Health, 7(3), 450-456.

42.  Talukder, A., Sakib, M.S., Islam, M.A. (2017). Determination of Influencing Factors for Integrated Pest Management Adoption: A Logistic Regression Analysis. Agrotechnology 6: 163. doi: 10.4172/2168-9881.1000163

43.  Islam, M. A., & Ahammed, B. (2017). An Econometric Analysis of Real Exchange Rate and Productivity Growth of some Developing Countries in Asia. Annals of Pure and Applied Mathematics, 13(2), 185-197.


Conference

1.  Tonny Akhter, Jannatul Naime, Shahanaj Parvin, Ashis Talukder, Md. Hasan Howlader, Md. Akhtarul Islam “Prevalence and Triggering Factors Associated with Unintended Pregnancy in South Asian and Sub-Saharan Africa: A Nationally Representative Cross-Sectional Study”, International Conference on STEM and the Fourth Industrial Revolution 2022, 1 to 3 July 2022.

2.  Sabiha Shirin Sara,  Asikur Rahman Asik, Md. Akhtarul Islam, Ashis Talukder “Prevalence and Triggering Factors Associated with Unintended Pregnancy in South Asian and Sub-Saharan Africa: A Nationally Representative Cross-Sectional Study”, International Conference on STEM and the Fourth Industrial Revolution 2022, 1 to 3 July 2022.

3.  Doneva, S. Gaftandzhieva, A. Islam, A. Almasri, H. Lalchhanhima (2020). COVID-19 LOCKDOWN, ONLINE LEARNING AND STUDENTS’ PERFORMANCER. Proceedings of ICERI2020 Conference, 9th-10th November 2020.

4.  Islam, M.A., Shadman, S.A., Halder, H.R. (2019). Influencing factors of maternal health service utilization in Bangladesh: A statistical analysis of the BDHS data 2014, 2nd International Conference on Applied Statistics 2019, University of Dhaka, November 2019.

5.  Islam, M.A., Raihan, H., Khan, M. N. A., (2019). Exploring the Influencing Factors for Contraceptive Use among Married Women: A Special Mixed-Method Study of Bangladesh and Other Twenty Low and Middle-Income Countries Based on DHS Data. 2nd International Conference on Applied Statistics 2019, University of Dhaka, November 2019.

6.  Raihan, H., Khan, M. N. A., Islam, M.A., (2019). A Multilevel Analysis of Over-weight and Obesity Among Non-Pregnant Women of Reproductive Age in Bangladesh: Evidence from BDHS data, 2014. 7th International Conference on Data Science and SDGs: Challenges, Opportunities and Realities, Rajshahi University, November 2019.


Project


1.   Research Grant Funded by Khulna University Research Cell. Title: A Meta-analysis on Association between Smoking and Breast Cancer Risk among Well-Developed, Developing and Least Developed Countries, 2019.


2.  Research Grant Funded by Khulna University Research Cell. Title: Factors influencing utilization of antenatal care services among pregnant women in Bangladesh, a relative comparison of statistical models, 2017.


Meta-Analysis


Meta-Analysis

Stat-4209

Section – A

Introduction-Definition and purpose, Types of meta-analyses, Steps to Perform a Meta-Analysis, Criticisms of Meta-Analyses.

The effect, Size and Precision-Treatment effects and effect sizes, Parameters, and estimates, Effect sizes based on means: Introduction, Raw (unstandardized) mean difference D, Standardized mean difference, d, and g, Response ratios effect sizes based on binary data (2×2 tables): Introduction, Risk ratio, Odds ratio, Risk difference, Choosing an effect size index, Effect sizes based on correlations: Introduction, Computing r.

Converting among effect sizes-Introduction, Converting from the log odds ratio to d, Converting d from to the log odds ratio, Converting from r  to d , Converting d from to r.

Section – B

Different model and their performance-Overview, Fixed-effect model: Introduction, The true effect size, Impact of sampling error, performing a fixed-effect meta-analysis. Random-effects model: Introduction, The true effect sizes, Impact of sampling error, performing a random-effects meta-analysis, Fixed-effect versus random-effects models: Definition of a summary effect, Estimating the summary effect, Extreme effect size in a large study or a small study, Confidence interval, The null hypothesis, Which model should we use?, Model should not be based on the test for heterogeneity.

Heterogeneity- overview, identifying and quantifying heterogeneity: Introduction, Isolating the variation in true effects, Computing Q, Estimating  and confidence intervals, the statistic, and confidence intervals, comparing the measures of heterogeneity.

Subgroup analyses-Introduction, Fixed-effect model within subgroups, Computational models, Random effects with separate estimates of  , Random effects with a pooled estimate of, the proportion of variance explained, Mixed-effects model, obtaining an overall effect in the presence of subgroups.

Meta-regression-Introduction, fixed-effect model, fixed or random effects for unexplained heterogeneity, random-effects model.

Publication Bias: Introduction, methods for addressing bias and evidence of bias, a summary of findings.


Running

Econometrics


Econometrics

Stat-4105

Section-A

Preliminary Concepts: Origin and scope econometrics, goals of econometrics, division of econometrics, econometrics for policy analysis, simultaneous equation models.

Dynamic Econometric Models: Autoregressive and distributed lag models, the role of time and lag models, reasons for bias, estimation of distributed lag models, Koyck approach, a combination of adaptive expectations and partial adjustment models, estimation of autoregressive models, Sargan test, problems, and solutions of dynamic econometric models.

Simultaneous Equation Models: Simultaneous equation bias, inconsistency of OLS estimators, types and rules of identification, estimation in simultaneous estimation methods, method of indirect least square (ILS), two-stage least square (2SLS),three-stage least squares (3SLS), full information maximum likelihood method, limited information maximum likelihood method.

Section-B

Linearity Homogeneous and Production Function: Introduction, the economic model, the statistical model, Cobb- Douglas (CD) production with properties and estimation, constant elasticity of substitution (CES) production function.

Demand Analysis: Introduction, the origin of demand analysis, the basic model; Schultz's method, the estimation of price flexibility’s, single-commodity studies; dynamic demand analysis.

Nonlinear Regression: Intrinsically linear and nonlinear regression, estimating nonlinear regression models such as direct methods, direct optimization, and iterative linearization methods.


Running

Research Methodology

Section – A

Basic Concepts of Research Methodology: Meaning of research, characteristics, objectives, the importance of research, Types of Research, Areas of Research, the difference between a research project and research program, concepts, meaning and fundamental difference of methods methodology, concepts of theory, proposition, Axiom, hypothesis. 

Research Design: Concepts of research design, types of research design, structured and unstructured research, exploratory research design, conclusive research design, and action research design. Selection of appropriate research design.

Research Process: Basic ideas, steps used for solving a research problem, the concept of decision making, stages of decision making

Research Proposal: Purpose of proposals, research benefits, proposal development, types of the research proposal, structuring the research proposal, evaluation of research proposal.

Section – B

Sampling Methods: Importance of sampling in social and marketing research, different sampling techniques and its appropriateness, determination of sample size.

Data Collection: Different types of data, selection of appropriate methods for data collection, and their advantages and disadvantages. Questionnaire and its construction, schedule, the difference between them.

Presentation of Data: Stages of the data preparation process, preliminary plan of data analysis, questionnaire checking, editing, coding, data cleaning, statistically adjusting the data, selecting a data analysis strategy.

Report Preparation and Presentation: Importance and function of literature review in research, steps for writing a literature review, report format, report writing, guidelines for tables and graphs, oral presentation, reading the research report, research follow-up.


Advanced Meta-Analysis


Advanced Meta-Analysis

Stat-5113

Section – A

Section – B

Introduction: It’s the development and uses, evidence-based health care, systematic reviews, why meta-analysis.

Fixed effect methods for combining studies: inverse variance weighted method, specific methods for combining odds ratios: Mantel-Haenszel method, Peto’s method, exact methods for interval estimation.

Random effect model: Algebraic derivation, restricted maximum likelihood estimates, comparison of estimation methods, extensions to the random-effects model.

Publication bias: evidence and consequences of publication bias identifying publication bias, funnel plot, adjusting the publication bias.

 

Study quality: methodological factors affecting the study quality, incorporating study quality in the meta-analysis, Quality effects model. Sensitivity analysis, the sensitivity of results to meta-analytic methods.

Reporting the results of meta-analysis: overview and structure of a report, graphical displays used for reporting, data collection and quality, PRISM.

Bayesian methods in meta-analysis: Bayesian methods in health research, Bayesian meta-analysis of normally distributed data, Bayesian meta-analysis of binary data. Empirical Bayes methods in meta-analysis. Missing data, Bayesian method of missing data.

 

Meta-analysis of different types of data: Meta-analysis of individual patient data (IPD). Vo5te counting methods, combining p-values. Meta-analysis of multiple and correlated outcome measures. Meta-analysis of epidemiological and other observational studies. Meta-analysis of survival data.

 


Statistical Methods for Artificial Intelligence


Statistical Methods for Artificial Intelligence

Stat-5209

Section – A

Section – B

Introduction: what is Artificial Intelligence (AI), Application of AI, Philosophy of AI, AI research: problem of AI, approaches of to AI.

Intelligent Agents: Agents and environments, Good behavior of the agents, Performance measures, the nature of environments, structure of agents: Simple reflex agents, Model-based reflex agents, Goal-based agents, Utility-based agents.

Problem-solving: problem-solving agents, formulating a problem, uniformed search strategies: Breadth-first search, Depth-first search, Depth limited search, Iterative deepening depth-first search, Bidirectional search, Comparing uninformed search strategies.

Informed search strategies: Heuristic function, greedy best-first search, Local search algorithms, and optimistic problems: simulated annealing search and genetic algorithms.

 

Knowledge representation: Knowledge based agents, prepositional logic, Syntax and semantics, Equivalence, Validity and Satisfiability, Resolution.

First Order Logic: representation revisited, Syntax and semantics for first-order logic, Using first-order logic, inference in First-order logic, prepositional versus first-order logic, knowledge engineering in first-order logic.

Uncertain knowledge and reasoning: Handling uncertain knowledge (using knowledge of probability), inference using full joint distribution, independence, Bayes’ rules and it use(simple case and combining evidence)

Probabilistic reasoning: Bayesian network, a method for constructing Bayesian network, conditional independence relations in Bayesian networks, Bayesian nets with continuous variables, exact inference in Bayesian network: variable elimination algorithm.

Statistical learning methods: learning with complete data: Maximum–likelihood parameter learning (both discrete and continuous model), Decision Tree learning. Neural Networks: Neural Networks, Units in neural networks, Network structures (single and Multilayer feedforward) 


Running
  • Meta-Analysis
  • Econometrics
  • Research Methodology
  • Advanced Meta-Analysis
  • Statistical Methods for Artificial Intelligence