John J Dziak
Biographic Data
| ID | 4394397 |
|---|---|
| NAME | John J Dziak |
| GIVEN NAMES | John J |
| FAMILY NAME | Dziak |
| SIGNATURE | DZIAK J J |
| AFFILIATIONS | Pennsylvania State University |
| ORCID | 0000-0003-0762-5495 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1987 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
SMART Binary: New Sample Size Planning Resources for SMART Studies with Binary Outcome Measurements
Sequential Multiple-Assignment Randomized Trials (SMARTs) play an increasingly important role in psychological and behavioral health research. This experimental approach enables researchers to answer scientific questions about how to sequence and match interventions to the unique, changing needs of individuals. A variety of sample size planning resources for SMART studies have been developed, enabling researchers to plan SMARTs for addressing dif…
Examining Caregiver- and Family-Level Psychosocial Influences on Child Oral Health Behavioral Outcomes in Racially and Economically Minoritized Urban Families
The results suggest household chaos may play an important role in child oral health behaviors and highlight the importance of investigating family-level factors for understanding and addressing child oral health risk
Association between neighborhood disadvantage and children's oral health outcomes in urban families in the Chicago area
Purpose The prevalence of childhood caries in urban Chicago, compared with national and state data, indicates that neighborhood context influences oral health. Our objective was to delineate the influence of a child's neighborhood on oral health outcomes that are predictive of caries (toothbrushing frequency and plaque levels). Methods Our study population represents urban, Medicaid-enrolled families in the metropolitan Chicago area. Data were ob…
A Causal Approach to Functional Mediation Analysis with Application to a Smoking Cessation Intervention
The increase in the use of mobile and wearable devices now allows dense assessment of mediating processes over time. For example, a pharmacological intervention may have an effect on smoking cessation via reductions in momentary withdrawal symptoms. We define and identify the causal direct and indirect effects in terms of potential outcomes on the mean difference and odds ratio scales, and present a method for estimating and testing the indirect …
Oral Health Behaviors for Young Low-Income Urban Children during the Covid-19 Pandemic: A Mixed Methods Analysis
This research assessed oral health behaviors changes in urban families with young children during the stay-at-home period of the COVID-19 pandemic (Nov 2020-August 2021). Survey data on oral health behaviors were collected in homes at three points before COVID-19, and via phone during COVID-19. A subset of parents and key informants from clinics and social service agencies completed in-depth interviews via video/phone. Of the 387 parents invited,…
Two-Part Models for Father–Child Relationship Variables: Presence in the Child’s Life and Quality of the Relationship Conditional on Some Presence
Parent-child relationship variables are often measured using a two-part approach. For example, when assessing the warmth of the father-child relationship, a child is first asked if they have contact with their father; if so, the level of warmth they feel toward him is ascertained. In this setting, data on the warmth measure is missing for children without contact with their father, and such missing data can pose a significant methodological and s…
Sensitivity and specificity of information criteria
Information criteria (ICs) based on penalized likelihood, such as Akaike’s information criterion (AIC), the Bayesian information criterion (BIC) and sample-size-adjusted versions of them, are widely used for model selection in health and biological research. However, different criteria sometimes support different models, leading to discussions about which is the most trustworthy. Some researchers and fields of study habitually use one or the othe…
A Data Analysis Method for Using Longitudinal Binary Outcome Data from a SMART to Compare Adaptive Interventions
Sequential multiple assignment randomized trials (SMARTs) are a useful and increasingly popular approach for gathering information to inform the construction of adaptive interventions to treat psychological and behavioral health conditions. Until recently, analysis methods for data from SMART designs considered only a single measurement of the outcome of interest when comparing the efficacy of adaptive interventions. Lu et al. proposed a method f…
Two-Part Predictors in Regression Models
Researchers often build regression models to relate a response to a set of predictor variables. In some cases, there are predictors that apply to some participants, or to some measurement occasions, but not others. For example, a romantic partner's substance use may be a key predictor of one's own substance use. However, not all participants have a partner, and in a longitudinal study, participants may have a partner during only some occasions. T…
Effect Size, Statistical Power, and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis
Selecting the number of different classes that will be assumed to exist in the population is an important step in latent class analysis (LCA). The bootstrap likelihood ratio test (BLRT) provides a data-driven way to evaluate the relative adequacy of a (K – 1)-class model compared to a K-class model. However, very little is known about how to predict the power or the required sample size for the BLRT in LCA. Based on extensive Monte Carlo simulati…
Chekisty: A History of the KGB
Soviet disinformation and the news
Soviet disinformation and the news
Two-Part Models for Father–Child Relationship Variables: Presence in the Child’s Life and Quality of the Relationship Conditional on Some Presence
Parent-child relationship variables are often measured using a two-part approach. For example, when assessing the warmth of the father-child relationship, a child is first asked if they have contact with their father; if so, the level of warmth they feel toward him is ascertained. In this setting, data on the warmth measure is missing for children without contact with their father, and such missing data can pose a significant methodological and s…
Soviet disinformation and the news
Chekisty: A History of the KGB
Effect Size, Statistical Power, and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis
Selecting the number of different classes that will be assumed to exist in the population is an important step in latent class analysis (LCA). The bootstrap likelihood ratio test (BLRT) provides a data-driven way to evaluate the relative adequacy of a (K – 1)-class model compared to a K-class model. However, very little is known about how to predict the power or the required sample size for the BLRT in LCA. Based on extensive Monte Carlo simulati…
Two-Part Predictors in Regression Models
Researchers often build regression models to relate a response to a set of predictor variables. In some cases, there are predictors that apply to some participants, or to some measurement occasions, but not others. For example, a romantic partner's substance use may be a key predictor of one's own substance use. However, not all participants have a partner, and in a longitudinal study, participants may have a partner during only some occasions. T…
A Data Analysis Method for Using Longitudinal Binary Outcome Data from a SMART to Compare Adaptive Interventions
Sequential multiple assignment randomized trials (SMARTs) are a useful and increasingly popular approach for gathering information to inform the construction of adaptive interventions to treat psychological and behavioral health conditions. Until recently, analysis methods for data from SMART designs considered only a single measurement of the outcome of interest when comparing the efficacy of adaptive interventions. Lu et al. proposed a method f…
Sensitivity and specificity of information criteria
Information criteria (ICs) based on penalized likelihood, such as Akaike’s information criterion (AIC), the Bayesian information criterion (BIC) and sample-size-adjusted versions of them, are widely used for model selection in health and biological research. However, different criteria sometimes support different models, leading to discussions about which is the most trustworthy. Some researchers and fields of study habitually use one or the othe…
Two-Part Models for Father–Child Relationship Variables: Presence in the Child’s Life and Quality of the Relationship Conditional on Some Presence
Parent-child relationship variables are often measured using a two-part approach. For example, when assessing the warmth of the father-child relationship, a child is first asked if they have contact with their father; if so, the level of warmth they feel toward him is ascertained. In this setting, data on the warmth measure is missing for children without contact with their father, and such missing data can pose a significant methodological and s…
Association between neighborhood disadvantage and children's oral health outcomes in urban families in the Chicago area
Purpose The prevalence of childhood caries in urban Chicago, compared with national and state data, indicates that neighborhood context influences oral health. Our objective was to delineate the influence of a child's neighborhood on oral health outcomes that are predictive of caries (toothbrushing frequency and plaque levels). Methods Our study population represents urban, Medicaid-enrolled families in the metropolitan Chicago area. Data were ob…
A Causal Approach to Functional Mediation Analysis with Application to a Smoking Cessation Intervention
The increase in the use of mobile and wearable devices now allows dense assessment of mediating processes over time. For example, a pharmacological intervention may have an effect on smoking cessation via reductions in momentary withdrawal symptoms. We define and identify the causal direct and indirect effects in terms of potential outcomes on the mean difference and odds ratio scales, and present a method for estimating and testing the indirect …
Oral Health Behaviors for Young Low-Income Urban Children during the Covid-19 Pandemic: A Mixed Methods Analysis
This research assessed oral health behaviors changes in urban families with young children during the stay-at-home period of the COVID-19 pandemic (Nov 2020-August 2021). Survey data on oral health behaviors were collected in homes at three points before COVID-19, and via phone during COVID-19. A subset of parents and key informants from clinics and social service agencies completed in-depth interviews via video/phone. Of the 387 parents invited,…
SMART Binary: New Sample Size Planning Resources for SMART Studies with Binary Outcome Measurements
Sequential Multiple-Assignment Randomized Trials (SMARTs) play an increasingly important role in psychological and behavioral health research. This experimental approach enables researchers to answer scientific questions about how to sequence and match interventions to the unique, changing needs of individuals. A variety of sample size planning resources for SMART studies have been developed, enabling researchers to plan SMARTs for addressing dif…
Examining Caregiver- and Family-Level Psychosocial Influences on Child Oral Health Behavioral Outcomes in Racially and Economically Minoritized Urban Families
The results suggest household chaos may play an important role in child oral health behaviors and highlight the importance of investigating family-level factors for understanding and addressing child oral health risk
Psychology (7 works) · Computer Science (6 works) · Mathematics (6 works) · Statistics (6 works) · Statistical Methods and Bayesian Inference (5 works) · Medicine (4 works) · Advanced Causal Inference Techniques (3 works) · Dental Health and Care Utilization (3 works) · Econometrics (3 works) · Psychiatry (3 works)