Cross-sectional Trend Analysis

Cross-Sectional Trend Analysis is a methodological approach within trend analysis that examines data across multiple entities or subjects at a single point in time to identify prevailing patterns or variations, distinguished from longitudinal methods by its focus on simultaneous observation rather than temporal evolution.

202

Publications

14.5K

Citations

899

Authors

443

Institutions

Publications per year

2017–2026

92

Authors

899

  1. MB
    Michael B. Rothberg

    Cleveland Clinic, United States

    3 publications · 120 citations

    3

    h-index

  2. MM
    Matthew M. Davis

    University of Michigan, United States

    3 publications · 1.4K citations

    3

    h-index

  3. PL
    Phuc Le

    Cleveland Clinic, United States

    3 publications · 120 citations

    3

    h-index

  4. WH
    William H. Herman

    University of Michigan, United States

    3 publications · 123 citations

    3

    h-index

  5. CA
    Carlos A. Camargo

    Massachusetts General Hospital, United States

    2 publications · 596 citations

    2

    h-index

1–5 of 899

Venues

  1. BMJ Open

    9 publications · 385 citations

    9

    h-index

  2. PLoS ONE

    5 publications · 207 citations

    5

    h-index

  3. JAMA Network Open

    5 publications · 410 citations

    5

    h-index

  4. PEDIATRICS

    5 publications · 711 citations

    5

    h-index

  5. BMC Public Health

    3 publications · 101 citations

    3

    h-index

1–5