A modeling framework for the analysis of HPV incidence and persistence: A semi-parametric approach for clustered binary longitudinal data analysis

Statistics in Medicine

Volumn 29, Issue 28, 2010, Pages 2880-2889

  Kong, Xiangrong ^a   Gray, Ronald H ^a   Moulton, Lawrence H ^a   Wawer, Maria ^a   Wang, Mei Cheng ^a  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Clustered longitudinal binary data; Conditional probability; HPV incidence; HPV persistence; Semi parametric model

Indexed keywords

ACCURACY; ARTICLE; CIRCUMCISION; CLUSTER ANALYSIS; CONCEPTUAL FRAMEWORK; CONDYLOMA ACUMINATUM; CORRELATION ANALYSIS; DATA ANALYSIS; DISEASE DURATION; EDUCATIONAL STATUS; FOLLOW UP; GENOTYPE; HIGH RISK POPULATION; INCIDENCE; INFECTION RISK; INSTRUMENTAL CONDITIONING; LONGITUDINAL STUDY; MARRIAGE; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PARAMETRIC TEST; PERSONAL HYGIENE; PROBABILITY; REGRESSION ANALYSIS; RISK FACTOR; SEXUAL BEHAVIOR; SIMULATION; STATISTICAL MODEL; THEORY;

BIOSTATISTICS; CIRCUMCISION, MALE; CONDYLOMATA ACUMINATA; DATA INTERPRETATION, STATISTICAL; HUMANS; INCIDENCE; LONGITUDINAL STUDIES; MALE; MODELS, STATISTICAL; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REGRESSION ANALYSIS; RISK FACTORS; UGANDA;

EID: 78649615737     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4062     Document Type: Article

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