Mariusz Maziarz
Biographic Data
| ID | 5993701 |
|---|---|
| NAME | Mariusz Maziarz |
| GIVEN NAMES | Mariusz |
| FAMILY NAME | Maziarz |
| SIGNATURE | MAZIARZ M |
| AFFILIATIONS | Jagiellonian University |
| ORCID | 0000-0003-1979-0746 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
What Is Wrong with Rerandomization in Randomized Field Experiments
Rerandomization is a new technique employed in randomized field experiments to enhance the balance of covariates across experimental groups. Rerandomization is recommended because it reduces imbalances in known covariates, thereby enhancing the precision of the average treatment effect estimates. However, employing rerandomization necessitates adjusting observed p-values, using regression-based inference, and selecting predictive covariates. All …
Evidential Pluralism, Causal Pluralism, and an Integrative Theory of Causation
Evidential Pluralism, a position emerging from the Russo-Williamson Thesis claims that establishing causation in the sciences requires both difference-making and mechanistic evidence. We develop its ontological foundations and formulate an integrative type-level theory of causation. We argue that causality involves two necessary conditions (manipulability and mechanism) that are jointly sufficient for a relation to be causal so that X causes Y if…
Does randomization assert the balance across trial arms? Revisiting Worrall’s criticism
We revisit John Worrall's old but still prominent argument against the view that randomization balances the impact of both known and unknown confounders across the treatment and control arms. We argue that his argument involving indefinitely many possible confounders is at odds with statistical theory as it (1) presumes that the purpose of randomized studies is obtaining perfect point estimates for which perfect balance is needed; (2) mistakes eq…
Causal Pluralism in Medicine and its Implications for Clinical Practice
The existing philosophical views on what is the meaning of causality adequate to medicine are vastly divided. We approach this question and offer two arguments in favor of pluralism regarding concepts of causality. First, we analyze the three main types of research designs (randomized-controlled trials, observational epidemiology and laboratory research). We argue, using examples, that they allow for making causal conclusions that are best unders…
The failure of drug repurposing for Covid-19 as an effect of excessive hypothesis testing and weak mechanistic evidence
The current strategy of searching for an effective treatment for COVID-19 relies mainly on repurposing existing therapies developed to target other diseases. Conflicting results have emerged in regard to the efficacy of several tested compounds but later results were negative. The number of conducted and ongoing trials and the urgent need for a treatment pose the risk that false-positive results will be incorrectly interpreted as evidence for tre…
Is meta-analysis of RCTs assessing the efficacy of interventions a reliable source of evidence for therapeutic decisions
Literature-based meta-analysis is a standard technique applied to pool results of individual studies used in medicine and social sciences. It has been criticized for being too malleable to constrain results, averaging incomparable values, lacking a measure of evidence's strength, and problems with a systematic bias of individual studies. We argue against using literature-based meta-analysis of RCTs to assess treatment efficacy and show that thera…
Ricardo F. Crespo, The Nature and Method of Economic Sciences. Evidence, Causality, and Ends
Philosophy of economics (defined as a subdiscipline of philosophy of science concerned with economics) seems to have recently turned from studying models and explanations to causal inference and the use of causal evidence for economic policymaking. This turn in the research interests of philosophers studying economics is visible in the works of, e.g., Alessio Moneta and Federica Russo (2014), Julian Reiss (2014; 2015), François Claveau and Luis M…
Assessing the quality of evidence from epidemiological agent-based models for the Covid-19 pandemic
Resolving empirical controversies with mechanistic evidence
The results of econometric modeling are fragile in the sense that minor changes in estimation techniques or sample can lead to statistical models that support inconsistent causal hypotheses. The fragility of econometric results undermines making conclusive inferences from the empirical literature. I argue that the program of evidential pluralism, which originated in the context of medicine and encapsulates to the normative reading of the Russo-Wi…
Philosophy of Economics
The contemporary methodological debate focuses on studying the relation between models and reality regarding idealization and resemblance. Limited attention is put on the process of model building. The study focuses its attention on the latter. The purpose of this article is twofold. First, we reconstruct the philosophical presuppositions of the participants of a cliometric debate. Second, we employ the Fleckian constructivist philosophy with the…
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Philosophy of Economics
The contemporary methodological debate focuses on studying the relation between models and reality regarding idealization and resemblance. Limited attention is put on the process of model building. The study focuses its attention on the latter. The purpose of this article is twofold. First, we reconstruct the philosophical presuppositions of the participants of a cliometric debate. Second, we employ the Fleckian constructivist philosophy with the…
Ricardo F. Crespo, The Nature and Method of Economic Sciences. Evidence, Causality, and Ends
Philosophy of economics (defined as a subdiscipline of philosophy of science concerned with economics) seems to have recently turned from studying models and explanations to causal inference and the use of causal evidence for economic policymaking. This turn in the research interests of philosophers studying economics is visible in the works of, e.g., Alessio Moneta and Federica Russo (2014), Julian Reiss (2014; 2015), François Claveau and Luis M…
Assessing the quality of evidence from epidemiological agent-based models for the Covid-19 pandemic
Resolving empirical controversies with mechanistic evidence
The results of econometric modeling are fragile in the sense that minor changes in estimation techniques or sample can lead to statistical models that support inconsistent causal hypotheses. The fragility of econometric results undermines making conclusive inferences from the empirical literature. I argue that the program of evidential pluralism, which originated in the context of medicine and encapsulates to the normative reading of the Russo-Wi…
The failure of drug repurposing for Covid-19 as an effect of excessive hypothesis testing and weak mechanistic evidence
The current strategy of searching for an effective treatment for COVID-19 relies mainly on repurposing existing therapies developed to target other diseases. Conflicting results have emerged in regard to the efficacy of several tested compounds but later results were negative. The number of conducted and ongoing trials and the urgent need for a treatment pose the risk that false-positive results will be incorrectly interpreted as evidence for tre…
Is meta-analysis of RCTs assessing the efficacy of interventions a reliable source of evidence for therapeutic decisions
Literature-based meta-analysis is a standard technique applied to pool results of individual studies used in medicine and social sciences. It has been criticized for being too malleable to constrain results, averaging incomparable values, lacking a measure of evidence's strength, and problems with a systematic bias of individual studies. We argue against using literature-based meta-analysis of RCTs to assess treatment efficacy and show that thera…
Causal Pluralism in Medicine and its Implications for Clinical Practice
The existing philosophical views on what is the meaning of causality adequate to medicine are vastly divided. We approach this question and offer two arguments in favor of pluralism regarding concepts of causality. First, we analyze the three main types of research designs (randomized-controlled trials, observational epidemiology and laboratory research). We argue, using examples, that they allow for making causal conclusions that are best unders…
Does randomization assert the balance across trial arms? Revisiting Worrall’s criticism
We revisit John Worrall's old but still prominent argument against the view that randomization balances the impact of both known and unknown confounders across the treatment and control arms. We argue that his argument involving indefinitely many possible confounders is at odds with statistical theory as it (1) presumes that the purpose of randomized studies is obtaining perfect point estimates for which perfect balance is needed; (2) mistakes eq…
What Is Wrong with Rerandomization in Randomized Field Experiments
Rerandomization is a new technique employed in randomized field experiments to enhance the balance of covariates across experimental groups. Rerandomization is recommended because it reduces imbalances in known covariates, thereby enhancing the precision of the average treatment effect estimates. However, employing rerandomization necessitates adjusting observed p-values, using regression-based inference, and selecting predictive covariates. All …
Evidential Pluralism, Causal Pluralism, and an Integrative Theory of Causation
Evidential Pluralism, a position emerging from the Russo-Williamson Thesis claims that establishing causation in the sciences requires both difference-making and mechanistic evidence. We develop its ontological foundations and formulate an integrative type-level theory of causation. We argue that causality involves two necessary conditions (manipulability and mechanism) that are jointly sufficient for a relation to be causal so that X causes Y if…
Medicine (5 works) · Philosophy of science (5 works) · Epistemology (4 works) · Health Systems, Economic Evaluations, Quality of Life (4 works) · Meta-analysis and systematic reviews (4 works) · Computer Science (3 works) · Philosophy (3 works) · Political science (3 works) · Psychology (3 works) · 2019-20 coronavirus outbreak (2 works)