Predicting patterns of mammography use: a geographic perspective on national needs for intervention research
about
Bayesian spatiotemporal modelling for identifying unusual and unstable trends in mammography utilisationEffects of study area size on geographic characterizations of health events: prostate cancer incidence in Southern New England, USA, 1994-1998Harmonizing Disparate Data across Time and Place: The Integrated Spatio-Temporal Aggregate Data Series.Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public.State-based estimates of mammography screening rates based on information from two health surveys.Promoting mammography adherence in underserved women: the telephone coaching adherence study.Neighborhood socio-economic disadvantage and race/ethnicity as predictors of breast cancer stage at diagnosis.Geographic variation in the prescription of schedule II opioid analgesics among outpatients in the United States.Utilization of screening mammography among middle-aged and older women.A Theory-Based Model for Predicting Adherence to Guidelines for Screening Mammography among Women Age 40 and OlderMoving mammogram-reluctant women to screening: a pilot study.Using small-area estimation to describe county-level disparities in mammographyHow important are psychosocial predictors of mammography receipt among older women when immediate access is provided via on-site service?Geographic variation in health insurance benefits in Qianjiang District, China: a cross-sectional study.
P2860
Q24658657-BA591A7D-E02A-4783-91A3-16DF91D864C9Q25255558-A1CE3CEB-01FC-4BA7-8F30-4703305284DDQ30654808-24C86A1A-9929-4431-B12E-1D47E8540047Q31075387-97787F96-EC6D-46DF-8BBE-9C23C8B51519Q33901447-3010DDB9-036C-4AA4-8EAA-B5E823D33214Q34630175-3D4F1F77-C533-4386-8459-C30F69EF8265Q35037613-7FE2E386-98D3-4CF1-918C-589507C8626EQ35241065-1EA96CDE-E4D1-460D-AB65-D89828F10B61Q35659706-7AD28EDB-EB84-4083-8E99-67CC58ECBB39Q37035578-C8C58E76-3772-4581-B7E5-B05154CEC2C7Q37352018-4D423C85-AAB6-47E9-8114-B9F97280E37CQ37414904-B32BD0D1-9943-4366-84F4-45164BA9FB9EQ40339754-C05A5D78-4137-402C-BB78-C1F8CD682E9BQ48103785-4BD167B9-7DBD-4817-9FAF-288523A919F2
P2860
Predicting patterns of mammography use: a geographic perspective on national needs for intervention research
description
2002 nî lūn-bûn
@nan
2002 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Predicting patterns of mammogr ...... eeds for intervention research
@ast
Predicting patterns of mammogr ...... eeds for intervention research
@en
Predicting patterns of mammogr ...... eeds for intervention research
@nl
type
label
Predicting patterns of mammogr ...... eeds for intervention research
@ast
Predicting patterns of mammogr ...... eeds for intervention research
@en
Predicting patterns of mammogr ...... eeds for intervention research
@nl
prefLabel
Predicting patterns of mammogr ...... eeds for intervention research
@ast
Predicting patterns of mammogr ...... eeds for intervention research
@en
Predicting patterns of mammogr ...... eeds for intervention research
@nl
P2093
P2860
P1476
Predicting patterns of mammogr ...... eeds for intervention research
@en
P2093
Cathy Coyne
Helen Meissner
Julie Legler
Nancy Breen
P2860
P304
P356
10.1034/J.1600-0560.2002.59.X
P577
2002-08-01T00:00:00Z