MLE and Bayesian inference of age-dependent sensitivity and transition probability in periodic screening

Biometrics

Volumn 61, Issue 4, 2005, Pages 1056-1063

  Wu, Dongfeng ^a   Rosner, Gary L ^b   Broemeling, Lyle ^b  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS   (United States)

Author keywords

Bayesian analysis; Breast cancer; Early detection; Markov chain Monte Carlo; Periodic screening; Sensitivity; Sojourn time; Transition probability

Indexed keywords

BAYESIAN NETWORKS; DIAGNOSIS; HEALTH INSURANCE; INFERENCE ENGINES; MARKOV PROCESSES; PROBABILITY DENSITY FUNCTION;

BAYESIAN ANALYSIS; BREAST CANCER; BREAST CANCER SCREENING; EARLY DETECTION; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; PERIODIC SCREENING; SENSITIVITY; SOJOURN TIME; TRANSITION PROBABILITIES;

DISEASES;

AGE; BAYESIAN ANALYSIS; CANCER; DISEASE PREVALENCE; WOMENS HEALTH;

ACCURACY; ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER DIAGNOSIS; CANCER SCREENING; CHRONIC DISEASE; COHORT ANALYSIS; GROUPS BY AGE; HEALTH INSURANCE; HEALTH PROGRAM; METHODOLOGY; PERIODICITY; PROBABILITY SAMPLE; ADULT; AGE; BREAST TUMOR; FEMALE; HUMAN; MAMMOGRAPHY; MASS SCREENING; MIDDLE AGED; SENSITIVITY AND SPECIFICITY; STANDARD; STATISTICAL MODEL;

NEW YORK [UNITED STATES]; NORTH AMERICA; UNITED STATES;

ADULT; AGE FACTORS; BAYES THEOREM; BREAST NEOPLASMS; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; MAMMOGRAPHY; MASS SCREENING; MIDDLE AGED; SENSITIVITY AND SPECIFICITY;

EID: 32544460270     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2005.00361.x     Document Type: Article

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