Statistical design and analysis plan for an impact evaluation of an HIV treatment and prevention intervention for female sex workers in Zimbabwe: a study protocol for a cluster randomised controlled trial

[1]  F. Chauvin,et al.  ColoNav: patient navigation for colorectal cancer screening in deprived areas – Study protocol , 2016, BMC Cancer.

[2]  J. Hargreaves,et al.  Implementation and Operational Research: Cohort Analysis of Program Data to Estimate HIV Incidence and Uptake of HIV-Related Services Among Female Sex Workers in Zimbabwe, 2009–2014 , 2016, Journal of acquired immune deficiency syndromes.

[3]  F. Cowan,et al.  Finger Prick Dried Blood Spots for HIV Viral Load Measurement in Field Conditions in Zimbabwe , 2015, PloS one.

[4]  A. O’Cathain,et al.  Process evaluation of complex interventions: Medical Research Council guidance , 2015, BMJ : British Medical Journal.

[5]  Nick S. Jones,et al.  Errors in reported degrees and respondent driven sampling: Implications for bias☆ , 2014, Drug and alcohol dependence.

[6]  B. Mustanski,et al.  Do recruitment patterns of young men who have sex with men (YMSM) recruited through respondent-driven sampling (RDS) violate assumptions? , 2014, Journal of Epidemiology & Community Health.

[7]  B. Vuylsteke,et al.  Community empowerment and involvement of female sex workers in targeted sexual and reproductive health interventions in Africa: a systematic review , 2014, Globalization and Health.

[8]  C. Campbell,et al.  The impact of Community Mobilisation on HIV Prevention in Middle and Low Income Countries: A Systematic Review and Critique , 2014, AIDS and Behavior.

[9]  L. Johnston,et al.  Epidemiological challenges to the assessment of HIV burdens among key populations: respondent-driven sampling, time-location sampling and demographic and health surveys. , 2014, Current opinion in HIV and AIDS.

[10]  Y. Amirkhanian Social Networks, Sexual Networks and HIV Risk in Men Who Have Sex with Men , 2014, Current HIV/AIDS Reports.

[11]  J. Hargreaves,et al.  Engagement with HIV Prevention Treatment and Care among Female Sex Workers in Zimbabwe: a Respondent Driven Sampling Survey , 2013, PloS one.

[12]  J. Busza,et al.  “You are wasting our drugs”: health service barriers to HIV treatment for sex workers in Zimbabwe , 2013, BMC Public Health.

[13]  Felicia F. Tian,et al.  An Empirical Analysis of the Impact of Recruitment Patterns on RDS Estimates among a Socially Ordered Population of Female Sex Workers in China , 2013, Sociological methods & research.

[14]  D. Celentano,et al.  Beyond surveillance: a role for respondent-driven sampling in implementation science. , 2013, American journal of epidemiology.

[15]  L. Johnston,et al.  Incorporating the Service Multiplier Method in Respondent-Driven Sampling Surveys to Estimate the Size of Hidden and Hard-to-Reach Populations: Case Studies From Around the World , 2013, Sexually transmitted diseases.

[16]  L. Johnston,et al.  An Empirical Examination of Respondent Driven Sampling Design Effects Among HIV Risk Groups from Studies Conducted Around the World , 2013, AIDS and Behavior.

[17]  T. Ha,et al.  Assessment of Random Recruitment Assumption in Respondent-Driven Sampling in Egocentric Network Data. , 2012, Social networking.

[18]  Matthew J. Salganik,et al.  Diagnostics for respondent‐driven sampling , 2012, Journal of the Royal Statistical Society. Series A,.

[19]  Sharad Goel,et al.  Respondent driven sampling—where we are and where should we be going? , 2012, Sexually Transmitted Infections.

[20]  G. Piaggio,et al.  Consort 2010 statement: extension to cluster randomised trials , 2012, BMJ : British Medical Journal.

[21]  C. Beyrer,et al.  Burden of HIV among female sex workers in low-income and middle-income countries: a systematic review and meta-analysis. , 2012, The Lancet. Infectious diseases.

[22]  Andrew J Copas,et al.  Evaluation of Respondent-driven Sampling , 2012, Epidemiology.

[23]  A. Koyanagi,et al.  Behavioral interventions to reduce the transmission of HIV infection among sex workers and their clients in low- and middle-income countries. , 2011, The Cochrane database of systematic reviews.

[24]  D. Murray,et al.  Ignoring the group in group-level HIV/AIDS intervention trials: a review of reported design and analytic methods , 2011, AIDS.

[25]  Charles B Holmes,et al.  Implementation Science for the US President's Emergency Plan for AIDS Relief (PEPFAR) , 2011, Journal of acquired immune deficiency syndromes.

[26]  Amber Tomas,et al.  The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling , 2010, 1012.4122.

[27]  Krista Gile Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation , 2010, 1006.4837.

[28]  Matthew J. Salganik,et al.  Assessing respondent-driven sampling , 2010, Proceedings of the National Academy of Sciences.

[29]  Cyprian Wejnert,et al.  3. An Empirical Test of Respondent-Driven Sampling: Point Estimates, Variance, Degree Measures, and Out-of-Equilibrium Data , 2009, Sociological methodology.

[30]  Mark S Handcock,et al.  7. Respondent-Driven Sampling: An Assessment of Current Methodology , 2009, Sociological methodology.

[31]  Douglas D. Heckathorn,et al.  Respondent-driven sampling : A new approach to the study of hidden populations , 1997 .

[32]  J. Hargreaves,et al.  Cohort analysis of programme data to estimate HIV incidence and uptake of HIV-related services among female sex workers in Zimbabwe, 2009-14. , 2015, Journal of acquired immune deficiency syndromes.

[33]  Jing Li,et al.  Challenges to recruiting population representative samples of female sex workers in China using Respondent Driven Sampling. , 2015, Social science & medicine.

[34]  张静,et al.  Banana Ovate family protein MaOFP1 and MADS-box protein MuMADS1 antagonistically regulated banana fruit ripening , 2015 .

[35]  A. O’Cathain,et al.  Process Evaluation of Complex Interventions Guidance: UK Medical Research Council (MRC) Guidance , 2014 .

[36]  Hiv Programme Prevention and treatment of HIV and other sexually transmitted infections for sex workers in low- and middle-income countries. Recommendations for a public health approach. , 2012 .

[37]  Cyprian Wejnert,et al.  Social Network Characteristics and HIV Vulnerability Among Transgender Persons in San Salvador: Identifying Opportunities for HIV Prevention Strategies , 2011, AIDS and Behavior.

[38]  E. Ota,et al.  Behavioral interventions to reduce the transmission of HIV infection among sex workers and their clients in high-income countries. , 2011, The Cochrane database of systematic reviews.

[39]  F. Scorgie Preventing HIV in sex work settings in sub-Saharan Africa , 2011 .

[40]  Erik M. Volz,et al.  Probability based estimation theory for respondent driven sampling , 2008 .

[41]  R. Hayes,et al.  Simple sample size calculation for cluster-randomized trials. , 1999, International journal of epidemiology.