Ian Laga

Datos Biográficos

ID322972
NOMBREIan Laga
NOMBRESIan
APELLIDOLaga
FIRMALAGA I
AFILIACIONESMontana State University
ORCID0000-0002-5164-4856
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS3
OBRAS COMO AUTOR5
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1

  • Condom use self-efficacy with Indigenous youth

    J Thiele, Paula Firemoon et al.ARTICLEAIDS Care2026

    Indigenous youth in the United States are at elevated risk of infection with Human Immunodeficiency Virus (HIV) and other sexually transmitted infections (STIs) compared to non-Indigenous youth populations. Condom use is an effective strategy to mitigate HIV and STI transmission, and condom use self-efficacy (CUSE) is a key focal point of sexual and reproductive health interventions for Indigenous youth. CUSE scales can be used to measure CUSE, b…

  • From survey data to social multiplex models

    Open AccessAlec Fluer, Ian Laga et al.ARTICLESocial Networks2026Referencias: 3

  • Accounting for correlation and censoring in Bayesian Network Scale-up Method Models

    Open AccessBernhard Vogel, Benjamin Vogel et al.ARTICLESocial Networks2025Referencias: 6

  • Estimating and Correcting Degree Ratio Bias in the Network Scale-up Method

    Open AccessIan Laga, Jessica P Kunke et al.ARTICLESociological Methods & Research2025Referencias: 13

    The Network Scale-up Method (NSUM) uses social networks and answers to 'How many X's do you know?' questions to estimate sizes of groups excluded by standard surveys. This paper addresses the bias caused by varying average social network sizes across populations, commonly referred to as the degree ratio bias. This bias likely exists for all populations, resulting in either positively or negatively biased population size estimates. We show how the…

  • Comparing the Robustness of Simple Network Scale-Up Method Estimators

    Open AccessJessica P Kunke, Ian Laga et al.ARTICLESociological Methodology2024Citada por: 3Referencias: 7

    The network scale-up method (NSUM) is a cost-effective approach to estimating the size or prevalence of a group of people that is hard to reach through a standard survey. The basic NSUM involves two steps: estimating respondents’ degrees and estimating the prevalence of the hard-to-reach population of interest using respondents’ estimated degrees and the number of people they report knowing in the hard-to-reach group. Each of these two steps invo…