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  1.  19
    The Philosophy of Causality in Economics: Causal Inferences and Policy Proposals.Mariusz Maziarz - 2020 - New York, NY: Routledge.
    Approximately one in six top economic research papers draws an explicitly causal conclusion. But what do economists mean when they conclude that A 'causes' B? Does 'cause' say that we can influence B by intervening on A, or is it only a label for the correlation of variables? Do quantitative analyses of observational data followed by such causal inferences constitute sufficient grounds for guiding economic policymaking? The Philosophy of Causality in Economics addresses these questions by analyzing the meaning of causal (...)
  2.  45
    Response to Henschen: causal pluralism in macroeconomics.Mariusz Maziarz & Robert Mróz - 2019 - Journal of Economic Methodology 27 (2):164-178.
    In his recent paper in the Journal of Economic Methodology, Tobias Henschen puts forth a manipulationist definition of macroeconomic causality that strives for adequacy. As the notion of ‘adequacy’...
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  3.  34
    Resolving empirical controversies with mechanistic evidence.Mariusz Maziarz - 2021 - Synthese 199 (3-4):9957-9978.
    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-Williamson Thesis that causal claims need the support of both difference-making and mechanistic evidence, offers a ground (...)
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  4.  21
    Assessing the quality of evidence from epidemiological agent-based models for the COVID-19 pandemic.Martin Zach & Mariusz Maziarz - 2021 - History and Philosophy of the Life Sciences 43 (1):1-4.
    Agent-based models (ABMs) are one of the main sources of evidence for decisions regarding mitigation and suppression measures against the spread of SARS-CoV-2. These models have not been previously included in the hierarchy of evidence put forth by the evidence-based medicine movement, which prioritizes those research methods that deliver results less susceptible to the risk of confounding. We point out the need to assess the quality of evidence delivered by ABMs and ask the question of what is the risk that (...)
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  5.  19
    The failure of drug repurposing for COVID-19 as an effect of excessive hypothesis testing and weak mechanistic evidence.Mariusz Maziarz & Adrian Stencel - 2022 - History and Philosophy of the Life Sciences 44 (4):1-26.
    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 treatments’ efficacy and a ground for drug approval. Our purpose is twofold. First, we (...)
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  6.  24
    Is meta-analysis of RCTs assessing the efficacy of interventions a reliable source of evidence for therapeutic decisions?Mariusz Maziarz - 2022 - Studies in History and Philosophy of Science Part A 91 (C):159-167.
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  7. Averaged versus individualized: pragmatic N-of-1 design as a method to investigate individual treatment response.Davide Serpico & Mariusz Maziarz - 2023 - European Journal for Philosophy of Science 13 (4):1-28.
    Heterogeneous treatment effects represent a major issue for medicine as they undermine reliable inference and clinical decision-making. To overcome the issue, the current vision of precision and personalized medicine acknowledges the need to control individual variability in response to treatment. In this paper, we argue that gene-treatment-environment interactions (G × T × E) undermine inferences about individual treatment effects from the results of both genomics-based methodologies—such as genome-wide association studies (GWAS) and genome-wide interaction studies (GWIS)—and randomized controlled trials (RCTs). Then, (...)
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  8.  34
    The Reinhart-Rogoff controversy as an instance of the ‘emerging contrary result’ phenomenon.Mariusz Maziarz - 2017 - Journal of Economic Methodology 24 (3):213-225.
  9.  27
    A rejoinder to Henschen: the issue of VAR and DSGE models.Mariusz Maziarz & Robert Mróz - 2020 - Journal of Economic Methodology 27 (3):266-268.
    Volume 27, Issue 3, September 2020, Page 266-268.
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  10.  17
    Conflicting Results and Statistical Malleability: Embracing Pluralism of Empirical Results.Mariusz Maziarz - forthcoming - Perspectives on Science:1-28.
    Conflicting results undermine making inferences from the empirical literature. So far, the replication crisis is mainly seen as resulting from honest errors and questionable research practices such as p-hacking or the base-rate fallacy. I discuss the malleability (researcher degrees of freedom) of quantitative research and argue that conflicting results can emerge from two studies using different but plausible designs (e.g., eligibility criteria, operationalization of concepts, outcome measures) and statistical methods. I also explore how the choices regarding study design and statistical (...)
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  11.  24
    Causal Pluralism in Medicine and its Implications for Clinical Practice.Mariusz Maziarz - forthcoming - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie:1-22.
    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 understood differently in each case (in agreement with a version of manipulationist, probabilistic and mechanistic definitions, respectively). (...)
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  12.  20
    Causality and inference in economics: An unended quest.Mariusz Maziarz - unknown
    The aim of this article is to point to the unsolved research problems connected to causation in the philosophy of economics. First, the paper defines causation and discusses two notable approaches, i.e. the realist theory of causation and the instrumentalist theory of causation. Second, it offers a review the current research activity focusing on the problem of causation in economics. Third, it discusses several case studies. On the grounds of comparison of the research practice of economists and the current issues (...)
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  13.  21
    Methodological Pluralism in Economics: The ‘Why’ and ‘How’ of Causal Inferences.Mariusz Maziarz - 2019 - Filozofia Nauki 27 (4):43-59.
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