Population Sampling Design

Population Sampling Design is a methodological framework that specifies the systematic approach for selecting and structuring representative subsets of individuals from diverse populations to enable valid inferences about genetic variation and its impact on drug response in population pharmacogenetics.

259

Publications

21.9K

Citations

1.1K

Authors

511

Institutions

Publications per year

2017–2026

58

Authors

1.1K

  1. ZZ
    Zhenping Zhao

    National Center for Chronic and Noncommunicable Disease Control and Prevention, China

    4 publications · 497 citations

    4

    h-index

  2. LE
    Leonard E. Egede

    Medical University of South Carolina, United States

    4 publications · 413 citations

    4

    h-index

  3. DD
    Douglas D. Heckathorn

    Cornell University, United States

    4 publications · 2.3K citations

    4

    h-index

  4. KB
    Kwang‐Hak Bae

    Seoul National University, South Korea

    4 publications · 249 citations

    4

    h-index

  5. MZ
    Mei Zhang

    National Center for Chronic and Noncommunicable Disease Control and Prevention, China

    4 publications · 497 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. PubMed

    Repository · 13 publications · 413 citations

    11

    h-index

  2. Biometrika

    8 publications · 418 citations

    8

    h-index

  3. Drug and Alcohol Dependence

    7 publications · 207 citations

    7

    h-index

  4. Journal of Urban Health

    6 publications · 629 citations

    6

    h-index

  5. BMC Medical Research Methodology

    5 publications · 165 citations

    5

    h-index

1–5