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.

Started PhD in Public Health Science

Name of Institution: Waterloo University, Canada

M.Sc. in Biostatistics 

Name of Institution: Saskatchewan University, Canada 

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


Md. Akhtarul Islam is currently pursuing a PhD in Public Health Sciences at the University of Waterloo, Canada. He holds an MSc in Biostatistics from the University of Saskatchewan, Canada, and is a faculty member in the Discipline of Statistics at Khulna University. He previously studied in the Department of Statistics at the University of Dhaka. His research focuses on advancing statistical methodologies in biological and public health research.

Since 2015, he has been a faculty member in the Statistics Discipline at Khulna University. His academic contributions include 22 research articles published in peer-reviewed journals and four conference papers related to health services, the public health sector, and primary healthcare facilities. His research is driven by a commitment to improving healthcare quality in developing countries by addressing the root causes of diseases, health sector mismanagement, and systemic challenges. His work particularly emphasizes the enhancement of maternal health services and primary healthcare in developing nations, often utilizing nationally representative Demographic and Health Survey (DHS) data for analysis.


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


1.       Dr. Sulaiman Al Habib Excellence Award for Clinical Scientific Research 2023, Sadia Arabia, (35,500.00 CAD)

2.       Dean’s Scholarship Award for MSc program in Biostatistics at Saskatchewan University 2022-2024. (36,000 CAD)


Supervision

SL Title Degree Role Start Date End Date
1 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
2 Experience and side effects of Covid-19 vaccine uptake among University students in Bangladesh Masters Supervisor 2022
3 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
4 Prevalence and Triggering Factors of Under-Five Mortality: A MetaAnalysis of Demography and Health Survey Data Masters Supervisor 2022
5 Trend of determinants of birth interval dynamics in Bangladesh; Four consecutive BDHS, Surveys- 2007, 2011, 2014 and 2017-18 Masters Supervisor July 2022
6 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
7 The Impact of Different Factors on Infant Mortality: A Meta-Analysis on Developing Countries Masters Supervisor 2nd July 2020 2021
8 Influencing Factors of Maternal Health Service Utilization in Bangladesh: A Statistical Analysis of the BDHS Data 2014
9 Factors Associated with Increased Neonatal Mortality in Some Developing Countries: Evidence from the Demographic and Health Survey (DHS) Data Masters Supervisor January 2020
10 Factor influencing breast cancer risk among well developed and least developed countries: A meta analytical review. Masters Supervisor January 2020
11 Factors Associated with the Non-Utilization of Maternal Health Services in Bangladesh: A Multilevel Analysis Masters Supervisor December 2020
12 Impact of Woman's Working Status on Spousal Abuse in Bangladesh: A Meta Analytical Review on Urban and Urban Slum Area Bachelor Supervisor 2017
13 Factor Influencing Utilization of Antenatal Care Service among Pregnant Women: A Meta-Analytical View on Some Developing Countries Bachelor Supervisor 2018
14 Factor Influencing the Caesarian Section Deliveries: Evidence from Five Developing Countries Bachelor Supervisor 2019
15 Determining The Factors Influencing Fertility; A Meta Analytical View of Some Developing Countries Bachelor Supervisor January 2019
16 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
17 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
18 The Impact of E-learning on Academic Performance and Mental Health of Khulna University Students during Covid-19 Pandemic Masters Supervisor 2022

No Data Available

coming soon...


Publications

1.       Mahazabin, M., Swarna, S. N., Naime, J., Rahman, A., & Islam, M. A. (2024). Factors influencing the first dose of measles vaccination uptake in 42 low-and middle-income countries. Public Health, 237, 85-93.

2.       Islam, M. A., Nahar, M., Rahman, A., Monjur-Al-Hossain, A. S., Jui, U. J., Tabassum, T., ... & Hossain, M. T. (2024). Experience and side effects of COVID-19 vaccine uptake among university students: A cross-sectional survey study. Frontiers in Public Health, 12, 1361374.

3.       Hossain, M. T., Khan, U. S., Jahan, N., Ahammed, B., Islam, M. A., Rahman, M. M., ... & Islam, M. N. (2024). “Seen, Yet Unseen”: Predictors of Problematic Pornography Use Among Students During the COVID-19 Pandemic in Bangladesh. Sexual Health & Compulsivity, 1-24.

4.       Mahazabin, M., Tabassum, N., Syfullah, S. K., Majumder, U. K., & Islam, M. A. (2024). Socio-demographic factors affecting the first and second dose of measles vaccination status among under-five children: Perspectives from South Asian countries. Preventive Medicine Reports, 102839.

5.       Islam, M. A., Nahar, M. T., Siddiquee, T., Toma, A. S., Hoque, F., & Hossain, M. Z. (2024). Prevalence and determinants of utilizing skilled birth attendance during home delivery of pregnant women in India: Evidence from the Indian Demographic and Health Survey 2015–16. Plos one, 19(3), e0295389.

6.       Rahman, M. A., Kundu, S., Rashid, H. O., Tohan, M. M., & Islam, M. A. (2023). Socio-economic inequalities in and factors associated with minimum dietary diversity among children aged 6–23 months in South Asia: a decomposition analysis. BMJ open, 13(12), e072775.

7.       Chowdhury, M. H., Aktar, M. F., Islam, M. A., & Khan, N. M. (2023). Factors associated with stunting status among under-5 years children in Bangladesh: Quantile regression modelling approach. Children and Youth Services Review, 155, 107199.

8.       Islam, M. A., Sathi, N. J., Setu, S. P., Nahar, M. T., Khan, M. N. A., Hasan, M., ... & Hossain, M. T. (2023). Knowledge, attitude, and practice of university students towards monkeypox in Bangladesh. Plos one, 18(10), e0287407.

9.       Islam, M. A., Mahmud, M. S., Das, S., & Razu, S. R. (2023). Socioeconomic Determinants of Household Size in Bangladesh: Evidence from the Bangladesh Demographic and Health Survey Data. Dr. Sulaiman Al Habib Medical Journal, 5(1), 10-22.

10.    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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. Islam, M. A., & Barna, S. D. (2020). Concise title: Maternal health service utilization. Clinical Epidemiology and Global Health, 8(4), 1236-1241.
  38. 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.
  39. 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).
  40. 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.
  41. 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



Conference

1.       Islam, M. A., Mondal, P., & Lim, H. J. Dementia Risk Assessment from Joint Modeling of Repeated Measurement and Time-to-Event Data using the Korea Health Panel Survey. Saskatchewan Epidemiology Association, 22nd Annual Symposium, Saskatchewan University, Canada, October 2023.

2.       Islam, M. A., Mondal, P., & Lim, H. J. Dementia Risk Assessment from Joint Modeling of Repeated Measurement and Time-to-Event Data using the Korea Health Panel Survey. Saskatchewan Epidemiology Association, 22nd Annual Symposium, Canada, October 2023.

3.       Islam M.A., Sathi, N. J., Jui U.J., Setu, S. P., Nahar. M.T, Khan M.N.A., Hasan, Khan A., Hossen M.M, Nibir M.M, Khan B., Ali M.S, Ali H.M, Islam M.N and Hossain M.T. (2023). Knowledge, attitude, and practice of university students towards monkeypox in Bangladesh. Data Science Bootcamp, University of Saskatchewan, Saskatoon, Saskatchewan, Canada, 7th – 14th June 2023.

4.       Akhtar, T., Naime, J., Parvin, S., Howlader, M.H., Talukder, A., Islam, M.A., (2022) Prevalence and triggering factors associated with unintended pregnancy in south Asia and sub-Saharan Africa: evidence from demographic and health survey data. International Conference on STEM and the Fourth Industrial Revolution 2022, Khulna University, Bangladesh.

5.       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.

6.       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.

7.       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.

 

 


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