C. Lynn Kiaer, Ph.D.
Statistician
Dr. Kiaer has served as Hornby Zeller Associates’ (HZA) Statistician since joining the firm at the start of 2012. In the limited time she has been with the firm, she has performed simple and complex data analytic functions for various projects.
For a class action suit initiated by Children’s Rights in support of children in the conservatorship of the Texas Department of Family and Children Services (M.D. v Perry), Dr. Kiaer led the complex data analysis designed to assess the practices of caseworkers for children in permanent managing conservatorship, specifically determining the extent to which caseworker activities satisfied federal and state laws, regulations and policies.
As part of the Maine Department of Health and Human Services’ Trauma Informed Systems of Care evaluation, Dr. Kiaer performed a cost and service analysis, accounting for the characteristics of children and families. Medicaid data were used to evaluate the mental health treatment initiative for troubled youth in multiple counties across Maine. The evaluation measured service utilization after intervention as well as the cost of both mental and physical health services. Dr. Kiaer also conducted an extensive program-utilization analysis of family centers programs throughout the Commonwealth of Pennsylvania. The analysis required two data files to be merged to produce outcome measures at the state level. Dr. Kiaer developed the algorithm to match data across these different systems without a common identifier.
Prior to joining HZA, Dr. Kiaer worked as an independent consultant for OnCall Solutions.In that capacity, she developed an algorithm to allow physicians to create stable and fair scheduling practices. . Prior to that, Dr. Kiaer served as the Senior Mathematician in the Industrial Artificial Intelligence Lab for the General Electric Global Research Center. During her eleven year tenure, Dr. Kiaer supported and led diverse applied decisions involving optimization, statistical analysis and simulation support of projects for General Electric and Lockheed Martin.
Dr. Kiaer received her doctorate in applied mathematics and her Master’s in Science in operations research from the Florida Institute of Technology.
CFSR/PIP/QSR Support
From Pennsylvania Data Gathering, Analysis, and Reporting; Technical Assistance and Training Proposal – December 2015
Lynn Kiaer, Statistician
Lynn Kiaer has served as HZA’s Statistician since joining the firm in 2012. Dr. Kiaer will conduct data analysis, as needed, to provide continuing support to OCYF and provide consultation in the development of sampling methodologies.
Dr. Kiaer is leading the outcome/effectiveness analysis for the Arkansas and West Virginia IV-E Waiver evaluations. She is responsible for analysis of data stemming from the reviews of case records for the evaluations as well as for a separate federal grant in Arkansas for the Diligent Recruitment of foster families.
HZA is the national evaluator of Parenting with Love and Limits (PLL), an evidence-based practice for youth with mental illness or in the juvenile justice system, with Dr. Kiaer as the lead analyst. As the practice is implemented across the country, HZA collects and analyzes the site specific data. Dr. Kiaer develops complex algorithms using propensity score matching to match program participants to youth in the juvenile justice systems not receiving the PLL services, allowing her to conduct rigorous quasi-experimental research design.
Dr. Kiaer has conducted the program utilization analysis of the Commonwealth’s Family Centers program. This analysis involved merging two data files to produce outcome measures at the statewide level. Dr. Kiaer developed a matching algorithm in instances where a unique client identifier was not available across the data sources. She also provides consultative support to Mr. Zacks in the design of sampling methodologies, such as for the Case Visitation Tracking.
Prior to joining HZA, Dr. Kiaer worked as an independent consultant for OnCall Solutions. In that capacity, she developed an algorithm to allow physicians to create stable and fair scheduling practices. Prior to that, Dr. Kiaer served as the Senior Mathematician in the Industrial Artificial Intelligence Lab for the General Electric Global Research Center. During her eleven year tenure, Dr. Kiaer supported and led diverse applied decisions involving optimization, statistical analysis and simulation support of projects for General Electric and Lockheed Martin. Dr. Kiaer received her doctorate in applied mathematics and her Master’s of Science in operations research from the Florida Institute of Technology.
From Pennsylvania Data Gathering, Analysis, and Reporting; Technical Assistance and Training Proposal – October 2012
C. Lynn Kiaer, Ph.D.
Statistician/Researcher
After more than ten years working as a mathematician at General Electric, Dr. Kiaer has joined HZA at the start of 2012. In the limited time she has been with the firm, she has worked on projects for the states of Maine, Pennsylvania and Texas.
As part of the Trauma Informed Systems of Care evaluation conducted on behalf of the Maine Department of Health and Human Services, Dr. Kiaer used Medicaid data to evaluate the effectiveness of a family-focused mental health treatment initiative for troubled youth in multiple counties across Maine. The analysis examined how utilization of services changes after intervention and how the cost of both mental and physical health services is affected.
Ms. Kiaer also conducted a program utilization analysis of a family centers program which is in operation throughout the Commonwealth of Pennsylvania. The analysis called for merging two data files to produce outcome measures at the statewide level. Dr. Kiaer developed a matching algorithm in instances where a unique client identifier was not available across the data sources.
For a lawsuit initiated by Children’s Rights in support of children in the conservatorship of the Texas Department of Family and Children Services (M.D. v Perry), Dr. Kiaer assisted in developing a sample methodology and will be one of the leaders of the complex data analysis required to determine whether class action status is warranted.
Dr. Kiaer received her doctorate in applied mathematics and her Master’s in Science in operations research from the Florida Institute of Technology. She has ten years of experience with SPSS, 15 with UNIX, and 20 with DOS.
From PA OCYF Data Analysis Re-bid – May 2012
C. Lynn Kiaer, Ph.D.
Statistician
After more than ten years working as a mathematician at General Electric, Dr. Kiaer has joined HZA at the start of 2012. In the limited time she has been with the firm, she has worked on projects for the states of Maine, Pennsylvania and Texas.
As part of the Trauma Informed Systems of Care evaluation conducted on behalf of the Maine Department of Health and Human Services, Dr. Kiaer used Medicaid data to evaluate the effectiveness of a family-focused mental health treatment initiative for troubled youth in multiple counties across Maine. The analysis examined how utilization of services changes after intervention and how the cost of both mental and physical health services is affected.
Ms. Kiaer also conducted a program utilization analysis of a family centers program which is in operation throughout the Commonwealth of Pennsylvania. The analysis called for merging two data files to produce outcome measures at the statewide level. Dr. Kiaer developed a matching algorithm in instances where a unique client identifier was not available across the data sources.
For a lawsuit initiated by Children’s Rights in support of children in the conservatorship of the Texas Department of Family and Children Services (M.D. v Perry), Dr. Kiaer assisted in developing a sample methodology and will be one of the leaders of the complex data analysis required to determine whether class action status is warranted.
Dr. Kiaer received her doctorate in applied mathematics and her Master’s in Science in operations research from the Florida Institute of Technology. She has ten years of experience with SPSS, 15 with UNIX, and 20 with DOS.
Juvenile Justice
From Connecticut DMC Evaluation Proposal – January 2015
Lynn Kiaer, Ph.D., Statistician is HZA’s lead statistician and will lead the quantitative data analysis for this effort. For the PLL evidence-based juvenile justice program described above, Dr. Kiaer uses quasi-experimental design to measure the effectiveness of the programs in reducing recidivism. She employs logistic regression and propensity score matching to select youth from the target population with similar characteristics to those who participated in PLL. Demographic characteristics, including gender and race, along with risk factors based on juvenile justice history and offense data are used. Dr. Kiaer routinely conducts analysis of the pre- and post-assessments which measure youth’s emotional and behavioral outcomes and family functioning as part of the evaluations for state and local juvenile justice agencies.
As part of the Maine Department of Health and Human Services’ Trauma Informed Systems of Care evaluation, Dr. Kiaer performed a cost and service analysis, accounting for the characteristics of children and families. Medicaid data were used to evaluate the mental health treatment initiative for troubled youth in multiple counties across Maine. The evaluation measured service utilization after intervention and the cost of mental and physical health services. The results of the study were used to obtain funding to support implementation of the THRIVE initiative in Maine’s juvenile justice system.
From Assessment Study of Disproportionate Minority Contact with the Louisiana Juvenile Justice System Part III Proposal – October 2012
Lynn Kiaer, Ph.D.
Dr. Kiaer serves as a statistician in HZA’s New York office and will lead the quantitative data analysis functions for this effort. Dr. Kiaer received her Ph.D. in Applied Mathematics and her M.S.in Operations Research from the Florida Institute of Technology. Since joining the firm at the start of 2012, she has become the firm’s acknowledged statistical expert.
For a class action suit initiated by Children’s Rights regarding children in the conservatorship of the Texas Department of Family and Children Services (M.D. v Perry), Dr. Kiaer lent her expertise in developing a sampling methodology. She also led the complex data analysis designed to assess the practices of caseworkers for children in permanent managing conservatorship, specifically determining the extent to which caseworker activities satisfied federal and state laws, regulations and policies.
As part of the Maine Department of Health and Human Services’ Trauma Informed Systems of Care evaluation, Dr. Kiaer performed a cost and service analysis, accounting for the characteristics of children and families. Medicaid data were used to evaluate the mental health treatment initiative for troubled youth in multiple counties across Maine. The evaluation measured service utilization after intervention as well as the cost of both mental and physical health services. Dr. Kiaer also conducted an extensive program-utilization analysis of family centers programs throughout the Commonwealth of Pennsylvania. The analysis required two data files to be merged to produce outcome measures at the state level. Dr. Kiaer developed the algorithm to match data across these different systems without a common identifier.
More recently, she has worked with Dr. Hutchinson to analyze the results of behavioral programs and the recidivism rates for youth served by Parenting with Love and Limits., an evidence-based treatment program for juveniles. She is responsible for analysis of the quasi-experimental outcome data.
Prior to joining HZA, Dr. Kiaer worked as an independent consultant for OnCall Solutions. In that capacity, she developed an algorithm to allow physicians to create stable and fair scheduling practices. Prior to that, Dr. Kiaer served as the Senior Mathematician in the Industrial Artificial Intelligence Lab for the General Electric Global Research Center. During her eleven year tenure, Dr. Kiaer supported and led diverse applied decisions involving optimization, statistical analysis and simulation support of projects for General Electric and Lockheed Martin.
Needs Assessment
From Georgia Study of Placement Resources Operations Proposal – June 2015
Lynn Kiaer, Ph.D., Statistician
Dr. Kiaer has served as Hornby Zeller Associates’ Statistician since joining the firm in 2012. She performs simple and complex data analytic functions for various projects.
For a class action suit initiated by Children’s Rights in support of children in the conservatorship of the Texas Department of Family and Children Services (M.D. v Perry), Dr. Kiaer led the complex data analysis designed to assess the practices of caseworkers for children in permanent managing conservatorship, specifically determining the extent to which caseworker activities satisfied federal and state laws, regulations and policies.
Dr. Kiaer is leading the outcome/effectiveness analysis for evaluations of the Arkansas IV-E Waiver and Diligent Recruitment grants. She is responsible for analysis of data stemming from the reviews of case records for the evaluation. Combining the Waiver and Grant together, Arkansas has chosen to implement seven initiatives, some of which are statewide and others which will be phased in, making for a complex evaluation design.
Program Evaluation
From South Carolina Empowering Communities for Healthy Outcomes (ECHO) Proposal – February 2016
Lynn Kiaer, Ph.D., Statistician
After more than ten years working as a mathematician at General Electric, Dr. Kiaer joined HZA at the start of 2012. As part of the Trauma Informed Systems of Care evaluation conducted on behalf of the Maine Department of Health and Human Services, Dr. Kiaer used Medicaid data to evaluate the effectiveness of a family-focused mental health treatment initiative for troubled youth in multiple counties across Maine. The analysis examined how utilization of services changes after intervention and how the cost of both mental and physical health services is affected. Dr. Kiaer also conducted a program utilization analysis of a family centers program which is in operation throughout the Pennsylvania. The analysis called for merging two data files to produce outcome measures at the statewide level. Dr. Kiaer developed a matching algorithm in instances where a unique client identifier was not available across the data sources.
She is the national evaluator of Parenting with Love and Limits, an evidence-based service for teenagers with mental health problems and their families who accept treatment after a juvenile justice incident. For a lawsuit initiated by Children’s Rights in support of children in the conservatorship of the Texas Department of Family and Children Services (M.D. v Perry), Dr. Kiaer assisted in developing a sampling methodology and led the complex data analysis required to determine whether class action status was warranted. She currently is responsible for conducting the statistical analysis of data, using Maine’s and West Virginia’s child welfare case management information systems, to measure the outcomes of the two state’s Title IV-E Waiver initiatives.